The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
To handle higher-order tensor data. See Kolda and Bader (2009) <doi:10.1137/07070111X> for details on tensor. While existing packages on tensor data extend the base 'array' class to some data classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness are also supported.
Version: | 1.1.1 |
Imports: | Rcpp (≥ 1.0.11), RcppEigen, rTensor, stats |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown |
Published: | 2024-04-09 |
DOI: | 10.32614/CRAN.package.tensorMiss |
Author: | Zetai Cen [aut, cre] |
Maintainer: | Zetai Cen <z.cen at lse.ac.uk> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | tensorMiss results |
Reference manual: | tensorMiss.pdf |
Vignettes: |
A-short-introduction-to-tensorMiss |
Package source: | tensorMiss_1.1.1.tar.gz |
Windows binaries: | r-devel: tensorMiss_1.1.1.zip, r-release: tensorMiss_1.1.1.zip, r-oldrel: tensorMiss_1.1.1.zip |
macOS binaries: | r-release (arm64): tensorMiss_1.1.1.tgz, r-oldrel (arm64): tensorMiss_1.1.1.tgz, r-release (x86_64): tensorMiss_1.1.1.tgz, r-oldrel (x86_64): tensorMiss_1.1.1.tgz |
Old sources: | tensorMiss archive |
Reverse imports: | MEFM |
Please use the canonical form https://CRAN.R-project.org/package=tensorMiss to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.